Author name: johnawo

Thoughts

How to Decide Which LLM to Use

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In the rapidly changing landscape of artificial intelligence, choosing the right large language model (LLM) can be a game-changer for your business or project. With options like GPT-4, Claude, and LLaMA, each model offers unique strengths tailored to different needs. But how do you navigate this sea of choices? In this guide, we’ll explore key factors to consider, from performance and cost to ethical implications, ensuring you make an informed decision. Whether you’re a developer or a curious enthusiast, this post will equip you with the insights needed to find the perfect LLM for your goals.

docker-logo
DevOps, Javascript, PHP

How to Change Docker IP Address

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Are you looking to enhance your Docker networking skills? Changing the IP address of your Docker containers can be a game-changer for networking compliance, resolving IP conflicts, or simply streamlining your development process. In our step-by-step guide, you’ll learn how to create a custom bridge network, assign specific IPs to your containers, and verify your changes effortlessly. Mastering Docker IP address configuration not only improves communication between containers but also boosts security and mitigates potential issues. Dive in and discover how to take control of your Docker environment today! Happy Dockering!

Piggy bank representing savings
AI, DevOps

Cost Of AI inference September 2024

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Explore the latest AI pricing trends from major providers like OpenAI, Anthropic, and Amazon. This comprehensive analysis covers current pricing structures for models such as GPT-4, Claude 3, and Titan, revealing a wide range from $0.0003 to $0.075 per 1K tokens. Discover emerging trends including tiered pricing, performance-based models, and potential future developments in the AI market. Gain insights into how pricing strategies are shaping AI accessibility and innovation across industries.

Manufacturing Robot working
Thoughts, AI

6 dangers AI can have to the future of work

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In AI’s rapidly advancing era, six major work risks arise: automation displacement, skills mismatch, inequality widening, soft skill devaluation, ethical biases & transparency issues. Collaborative efforts by governments, industries, and education are needed to foster adaptive labor forces, balance human attributes with AI capabilities, and ensure a just transition into the evolving work landscape.

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